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In-Source Photoderivatization-Enhanced Neurometabolic Profiling Deciphers Vascular Cognitive Impairment
Yingying Lin1, Xinjie Gao2, Shuang Xu1
1School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, P. R. China.
Journal of the American Chemical Society
|January 16, 2026
Summary
A new mass spectrometry method enhances detection of neurotransmitters for studying vascular cognitive impairment (VCI). This technique reveals key metabolic changes in VCI patients, aiding in understanding disease progression.
Area of Science:
- Neuroscience
- Analytical Chemistry
- Biochemistry
Background:
- Vascular cognitive impairment (VCI) pathogenesis is poorly understood due to challenges in neurometabolic profiling.
- Detecting low-abundance metabolites and neurotransmitters (NTs) is difficult with current high-throughput methods.
Purpose of the Study:
- To develop a novel mass spectrometry in-source photoderivatization (MSIPD) platform for enhanced neurometabolic profiling.
- To improve the detection of neurotransmitters in VCI research.
Main Methods:
- Utilized a novel photoreactive probe (5-methoxy-2-nitrobenzaldehyde) and TiO2 P25 for MSIPD.
- Employed laser desorption/ionization mass spectrometry (LDI-MS) for rapid, low-sample-volume analysis.
- Analyzed cerebrospinal fluid (CSF) from VCI patients and controls.
Main Results:
- Achieved over 93% derivatization efficiency and high reproducibility (≤8.2%) for NTs.
- Increased metabolite coverage twofold compared to underivatized samples.
- Identified 12 significantly altered neuro-metabolites in VCI patients and stage-dependent changes in NTs like histamine and phenylalanine.
Conclusions:
- Neurometabolic dysregulation, particularly of NTs, is implicated in VCI pathogenesis.
- The MSIPD platform offers a sensitive, rapid, and efficient tool for translational neurometabolic profiling.
- Findings provide insights into VCI progression and potential therapeutic targets.
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